@article {9641,
	title = {A comparative study of structural variant calling in WGS from Alzheimer{\textquoteright}s disease families.},
	journal = {Life Sci Alliance},
	volume = {7},
	year = {2024},
	month = {2024 May},
	abstract = {<p>Detecting structural variants (SVs) in whole-genome sequencing poses significant challenges. We present a protocol for variant calling, merging, genotyping, sensitivity analysis, and laboratory validation for generating a high-quality SV call set in whole-genome sequencing from the Alzheimer{\textquoteright}s Disease Sequencing Project comprising 578 individuals from 111 families. Employing two complementary pipelines, Scalpel and Parliament, for SV/indel calling, we assessed sensitivity through sample replicates (N = 9) with in silico variant spike-ins. We developed a novel metric, D-score, to evaluate caller specificity for deletions. The accuracy of deletions was evaluated by Sanger sequencing. We generated a high-quality call set of 152,301 deletions of diverse sizes. Sanger sequencing validated 114 of 146 detected deletions (78.1\%). Scalpel excelled in accuracy for deletions <=100 bp, whereas Parliament was optimal for deletions >900 bp. Overall, 83.0\% and 72.5\% of calls by Scalpel and Parliament were validated, respectively, including all 11 deletions called by both Parliament and Scalpel between 101 and 900 bp. Our flexible protocol successfully generated a high-quality deletion call set and a truth set of Sanger sequencing-validated deletions with precise breakpoints spanning 1-17,000 bp.</p>},
	keywords = {Alzheimer Disease, Humans, Whole Genome Sequencing},
	issn = {2575-1077},
	doi = {10.26508/lsa.202302181},
	author = {Malamon, John S and Farrell, John J and Xia, Li Charlie and Dombroski, Beth A and Das, Rueben G and Way, Jessica and Kuzma, Amanda B and Valladares, Otto and Leung, Yuk Yee and Scanlon, Allison J and Lopez, Irving Antonio Barrera and Brehony, Jack and Worley, Kim C and Zhang, Nancy R and Wang, Li-San and Farrer, Lindsay A and Schellenberg, Gerard D and Lee, Wan-Ping and Vardarajan, Badri N}
}
@article {9577,
	title = {Human whole-exome genotype data for Alzheimer{\textquoteright}s disease.},
	journal = {Nat Commun},
	volume = {15},
	year = {2024},
	month = {2024 Jan 23},
	pages = {684},
	abstract = {<p>The heterogeneity of the whole-exome sequencing (WES) data generation methods present a challenge to a joint analysis. Here we present a bioinformatics strategy for joint-calling 20,504 WES samples collected across nine studies and sequenced using ten capture kits in fourteen sequencing centers in the Alzheimer{\textquoteright}s Disease Sequencing Project. The joint-genotype called variant-called format (VCF) file contains only positions within the union of capture kits. The VCF was then processed specifically to account for the batch effects arising from the use of different capture kits from different studies. We identified 8.2 million autosomal variants. 96.82\% of the variants are high-quality, and are located in 28,579 Ensembl transcripts. 41\% of the variants are intronic and 1.8\% of the variants are with CADD > 30, indicating they are of high predicted pathogenicity. Here we show our new strategy can generate high-quality data from processing these diversely generated WES samples. The improved ability to combine data sequenced in different batches benefits the whole genomics research community.</p>},
	keywords = {Alzheimer Disease, Computational Biology, Data Accuracy, Exome, Genotype, Humans},
	issn = {2041-1723},
	doi = {10.1038/s41467-024-44781-7},
	author = {Leung, Yuk Yee and Naj, Adam C and Chou, Yi-Fan and Valladares, Otto and Schmidt, Michael and Hamilton-Nelson, Kara and Wheeler, Nicholas and Lin, Honghuang and Gangadharan, Prabhakaran and Qu, Liming and Clark, Kaylyn and Kuzma, Amanda B and Lee, Wan-Ping and Cantwell, Laura and Nicaretta, Heather and Haines, Jonathan and Farrer, Lindsay and Seshadri, Sudha and Brkanac, Zoran and Cruchaga, Carlos and Pericak-Vance, Margaret and Mayeux, Richard P and Bush, William S and DeStefano, Anita and Martin, Eden and Schellenberg, Gerard D and Wang, Li-San}
}
